@inproceedings{golbandi2011adaptive,
  title={Adaptive bootstrapping of recommender systems using decision trees},
  author={Golbandi, N. and Koren, Y. and Lempel, R.},
  booktitle={Proceedings of the fourth ACM international conference on Web search and data mining},
  pages={595--604},
  year={2011},
  organization={ACM}
}
@inproceedings{Rendle:UAI09,
 author = {Rendle, Steffen and Freudenthaler, Christoph and Gantner, Zeno and Schmidt-Thie Lars},
 title = {BPR: Bayesian personalized ranking from implicit feedback},
 booktitle = {Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence},
 series = {UAI '09},
 year = {2009},
 isbn = {978-0-9749039-5-8},
 location = {Montreal, Quebec, Canada}
}
@inproceedings{Davidson:2010:YVR:1864708.1864770,
 author = {Davidson, James and Liebald, Benjamin and Liu, Junning and Nandy, Palash and Van Vleet, Taylor and Gargi, Ullas and Gupta, Sujoy and He, Yu and Lambert, Mike and Livingston, Blake and Sampath, Dasarathi},
 title = {The YouTube video recommendation system},
 booktitle = {Proceedings of the fourth ACM conference on Recommender systems},
 series = {RecSys '10},
 year = {2010},
 isbn = {978-1-60558-906-0},
 location = {Barcelona, Spain},
 pages = {293--296},
 numpages = {4},
 url = {http://doi.acm.org/10.1145/1864708.1864770},
 doi = {10.1145/1864708.1864770},
 acmid = {1864770},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {collaborative filtering, online video, recommender systems, youtube},
}
@inproceedings{quoc2007learning,
  title={Learning to rank with nonsmooth cost functions},
  author={Quoc, C.J.C.B.R.R. and Le, V.},
  booktitle={Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference},
  volume={19},
  pages={193},
  year={2007},
  organization={The MIT Press}
}
@inproceedings{agrawal2009diversifying,
  title={Diversifying search results},
  author={Agrawal, R. and Gollapudi, S. and Halverson, A. and Ieong, S.},
  booktitle={Proceedings of the Second ACM International Conference on Web Search and Data Mining},
  pages={5--14},
  year={2009},
  organization={ACM}
}
@proceedings{Berkovsky:2010:1869652,
 title = {CAMRa '10: Proceedings of the Workshop on Context-Aware Movie Recommendation},
 year = {2010},
 isbn = {978-1-4503-0258-6},
 location = {Barcelona, Spain},
 publisher = {ACM},
 address = {New York, NY, USA},
}

@inproceedings{zhou2011functional,
  title={Functional matrix factorizations for cold-start recommendation},
  author={Zhou, K. and Yang, S.H. and Zha, H.},
  booktitle={Proceedings of the 34th international ACM SIGIR conference on Research and development in Information},
  pages={315--324},
  year={2011},
  organization={ACM}
}
@article{pazzani2007content,
  title={Content-based recommendation systems},
  author={Pazzani, M. and Billsus, D.},
  journal={The adaptive web},
  pages={325--341},
  year={2007},
  publisher={Springer}
}
@inproceedings{bennett2007netflix,
  title={The netflix prize},
  author={Bennett, J. and Lanning, S.},
  booktitle={Proceedings of KDD Cup and Workshop},
  volume={2007},
  pages={35},
  year={2007}
}
@inproceedings{koren2008factorization,
  title={Factorization meets the neighborhood: a multifaceted collaborative filtering model},
  author={Koren, Y.},
  booktitle={Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={426--434},
  year={2008},
  organization={ACM}
}
@article{koren2009matrix,
  title={Matrix factorization techniques for recommender systems},
  author={Koren, Y. and Bell, R. and Volinsky, C.},
  journal={Computer},
  volume={42},
  number={8},
  pages={30--37},
  year={2009},
  publisher={IEEE}
}
@inproceedings{xue2005scalable,
  title={Scalable collaborative filtering using cluster-based smoothing},
  author={Xue, G.R. and Lin, C. and Yang, Q. and Xi, W.S. and Zeng, H.J. and Yu, Y. and Chen, Z.},
  booktitle={Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={114--121},
  year={2005},
  organization={ACM}
}
@inproceedings{sarwar2001item,
  title={Item-based collaborative filtering recommendation algorithms},
  author={Sarwar, B. and Karypis, G. and Konstan, J. and Reidl, J.},
  booktitle={Proceedings of the 10th international conference on World Wide Web},
  pages={285--295},
  year={2001},
  organization={ACM}
}
@inproceedings{kddcup11,
 author = {Dror,G and Koenigstein,N and Koren,Y and Weimer,M},
 title = {The Yahoo! Music Dataset and KDD-Cup'11},
 booktitle = {KDD-Cup Workshop 2011},
 year = {2011},
}
@inproceedings{Gemulla:KDD11,
 author = {Gemulla, Rainer and Nijkamp, Erik and Haas, Peter J. and Sismanis, Yannis},
 title = {Large-scale matrix factorization with distributed stochastic gradient descent},
 booktitle = {Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '11},
 year = {2011},
 isbn = {978-1-4503-0813-7},
 location = {San Diego, California, USA},
 pages = {69--77},
 numpages = {9},
 url = {http://doi.acm.org/10.1145/2020408.2020426},
 doi = {http://doi.acm.org/10.1145/2020408.2020426},
 acmid = {2020426},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {distributed matrix factorization, mapreduce, recommendation system, stochastic gradient descent},
}
